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The Marshall Star for March 20, 2024


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The Marshall Star for March 20, 2024

NASA technologist Les Johnson, on stage, discusses how the solar sail can use solar propulsion to travel farther in space than anyone has traveled before during an exhibit held March 12 at the U.S. Space & Rocket Center.

Marshall Technologist Talks Solar Sail Technology in Rocket Center Exhibit

By Jessica Barnett

Space enthusiasts at the U.S. Space & Rocket Center were treated to a special exhibit featuring technologist Les Johnson of NASA’s Marshall Space Flight Center and a look at the future of solar sail technology.

NASA technologist Les Johnson, on stage, discusses how the solar sail can use solar propulsion to travel farther in space than anyone has traveled before during an exhibit held March 12 at the U.S. Space & Rocket Center.
NASA technologist Les Johnson, on stage, discusses how the solar sail can use solar propulsion to travel farther in space than anyone has traveled before during an exhibit held March 12 at the U.S. Space & Rocket Center.
NASA/Charles Beason

Johnson shared the latest updates on the solar sail technology through brief presentations onstage in the Rocket Center’s atrium as well as one-on-one interactions with museum guests at the various displays set up near the stage. He discussed how the technology will work, showed a video of the solar sail team testing one of the sail’s four quadrants, and discussed what it could mean for the future of space exploration.

“I’m excited about this type of propulsion, because it’s free, it doesn’t run out of fuel, and you can use it to do amazing things in the future,” Johnson said. “We could build really big sails – 10 to 100 times bigger than the Solar Cruiser sail – and instead of using sunlight, we could shine lasers on it and go out in the solar system, literally where we’ve never been before.”

NASA continues to unfurl plans for solar sail technology as a promising method of deep space transportation. The agency cleared a key technology milestone in January with one of four identical solar sail quadrants successfully deploying. Together, the solar sail quadrants will make up the 17,800-square-foot sail.

Marshall leads the solar sail team, which includes Florida-based Redwire Corporation as prime contractor and Huntsville-based NeXolve as subcontractor.

Barnett, a Media Fusion employee, supports the Marshall Office of Communications.

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Robert Champion Named Manager of SLS Exploration Upper Stage Office at Marshall

Robert Champion has been named as manager of the SLS (Space Launch System) Exploration Upper Stage Office at NASA’s Marshall Space Flight Center, effective March 24th.

In his role, he will be responsible for the continued development of the exploration upper stage on the more powerful SLS Block 1B rocket, which is set to debut for the Artemis IV mission. Marshall manages the SLS Program.

Robert Champion
Robert Champion has been named as manager of the SLS (Space Launch System) Exploration Upper Stage Office at NASA’s Marshall Space Flight Center.
NASA

Champion has been director of the Office of Center Operations at Marshall since 2021. In that role, he managed center services that included industrial labor relations, environmental engineering, occupational health, facility management, logistics and transportation, protective services, emergency management, and subordinate site operations.

Champion previously served as the director of NASA’s Michoud Assembly Facility in New Orleans from 2019 to 2021; deputy director of Marshall’s Propulsion Systems Department from 2015 to 2019; deputy director of Marshall’s Space Systems Department from 2014 to 2015; and deputy director at Michoud from 2010 to 2014.

His 37-year career at NASA has included leadership roles in engineering, program and project organizations focused on launch vehicle development, system engineering, and propulsion systems.

Champion has received several of NASA’s highest awards, including the Presidential Rank Award, the Exceptional Achievement Medal, the Medal for Exceptional Service, Space Flight Awareness Honoree, Director’s Commendation, and the Contracting Officers Technical Representative of the Year.  He was selected as an American Institute of Aeronautics and Astronautics Associate fellow and received the organization’s 2018-2019 Holger Toftoy Award for outstanding technical management in the fields of aeronautics and astronautics.

A native of Woodstock, Alabama, Champion holds a bachelor’s degree in aerospace engineering from Auburn University. He lives in Hazel Green with his wife, Maria Shelby. They have five adult children and six grandchildren.

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June Malone Named Director of the Office of Center Operations at Marshall 

June Malone has been named as director of the Office of Center Operations at NASA’s Marshall Space Flight Center, effective March 24.

With an annual budget of approximately $94 million, the organization includes 120 engineers and specialized civil servants and more than 500 contractors. Services provided by Center Operations include industrial labor relations, environmental engineering, occupational health, facility management, logistics and transportation, protective services, emergency management, and subordinate site operations.

June Malone
June Malone has been named as director of the Office of Center Operations at NASA’s Marshall Space Flight Center.
NASA

Malone has been director of the Office of Strategic Analysis & Communications at Marshall since 2021. In that role, she led the organization in providing strategic planning, objective analysis, and comprehensive communication to support the policy, program, and budget decisions for the center.

Malone has worked in a variety of leadership roles throughout her 30-year NASA career. She previously was manager for Marshall’s Office of Communications from 2019 to 2021, overseeing the center’s full communications portfolio, including media, social media, website content, exhibits, history, and employee communications. Previously in 2019, she worked in Marshall’s Office of Human Capital, where she established a new Human Resources Business Partner organization and operating model. She also held a year-long position in 2016-2017 as deputy director of the Office of Strategic Analysis & Communications.

From 2014-2016 and again 2017-2019, Malone was manager of Marshall’s Office of Communication, guiding media and social media for all center projects, programs, and activities, including crisis and risk communication. She has managed public affairs and media relations activities for the Space Shuttle Propulsion Projects Office, the Space Launch Initiative, the Advanced Space Transportation Program, and the full suite of science and engineering work at Marshall. She was the primary NASA spokesperson for the Space Shuttle Propulsion Projects Office, communicating with media and the public on technical subjects and controversial issues that included the Columbia accident and Return to Flight.

Prior to joining NASA in 1991, Malone was an active-duty Air Force officer from 1985-1991. She worked at the Pentagon on the secretary of the Air Force staff in the Office of Public Affairs as a public affairs officer, and subsequently at Tactical Air Command at Langley Air Force Base in Hampton, Virginia, during Operation Desert Storm. She formulated and implemented public affairs and media relations policy, strategic public affairs activities, and media relations plans.

Malone holds a bachelor’s degree in communications from Southern Illinois University and a master’s degree in communications research from The Florida State University in Tallahassee. Her awards include a Silver Snoopy, NASA Outstanding Leadership Medal, Air Force Meritorious Service Medal, and Rotary National Award for Communication.

An Illinois native, Malone and her husband, Roy, reside in Huntsville. Their son, Wil, is a NASA engineer, and their daughter, Madison, is a medical doctor in San Francisco.

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NASA Lights ‘Beacon’ on Moon with Autonomous Navigation System Test

By Rick Smith

For 30 total minutes in February, NASA lit a beacon on the Moon – successfully testing a sophisticated positioning system that will make it safer for Artemis-era explorers to visit and establish a permanent human presence on the lunar surface.

A man sits in front of a computer screen in a large control room with huge screens in the background.
Evan Anzalone, at lower left, principal investigator for the Lunar Node-1 demonstrator payload, monitors the LN-1 mission from the Lunar Utilization Control Area in the Huntsville Operations Support Center at NASA’s Marshall Space Flight Center. LN-1 successfully tested an autonomous navigation and geo-positioning system that will make Artemis-era lunar explorers safer as they work to establish a permanent human presence on the lunar surface.
NASA

The Lunar Node 1 demonstrator, or LN-1, is an autonomous navigation system intended to provide a real-time, point-to-point communications network on the Moon. The system – tested during Intuitive Machines’ IM-1 mission as part of NASA’s CLPS (Commercial Lunar Payload Services) initiative – could link orbiters, landers, and even individual astronauts on the surface, digitally verifying each explorer’s position relative to other networked spacecraft, ground stations, or rovers on the move.

That system would be a marked improvement over conventional, Earth-based radio data relays, NASA researchers said – even more so compared to Apollo-era astronauts trying to “eyeball” distance and direction on the vast, mostly grey lunar surface.

“We’ve lit a temporary beacon on the lunar shore,” said Evan Anzalone, LN-1 principal investigator at NASA’s Marshall Space Flight Center. “Now, we seek to deliver a sustainable local network – a series of lighthouses that point the way for spacecraft and ground crews to safely, confidently spread out and explore.”

The experiment was launched Feb. 15 as a payload on the IM-1 mission. The Nova-C lander, named Odysseus, successfully touched down Feb. 22 near Malapert A, a lunar impact crater near the Moon’s South Pole region, executing the first American commercial uncrewed landing on the Moon. The lander spent its subsequent days on the surface conducting six science and technology demonstrations, among them LN-1, before it officially powered down on Feb. 29.

“This feat from Intuitive Machines, SpaceX, and NASA demonstrates the promise of American leadership in space and the power of commercial partnerships under NASA’s CLPS initiative,” NASA Administrator Bill Nelson said in a statement after the landing. “Further, this success opens the door for new voyages under Artemis to send astronauts to the Moon, then on to Mars.” 

During IM-1’s translunar journey, the Marshall team conducted daily tests of the LN-1 beacon. The original plan was for the payload to transmit its beacon around the clock upon landing. NASA’s Deep Space Networkthe international giant radio antenna array, would have received that signal for, on average, 10 hours daily.

Instead, due to the lander’s touchdown orientation, LN-1 conducted two 15-minute transmissions from the surface. DSN assets successfully locked on the signal, feeding telemetry, navigation measurements, and other data to researchers at Marshall, NASA’s Jet Propulsion Laboratory, and Morehead State University in Morehead, Kentucky. The team continues to evaluate the data.

LN-1 even provided critical backup to IM-1’s onboard navigation system, noted Dr. Susan Lederer, CLPS project scientist at NASA’s Johnson Space Center. The LN-1 team “really stepped up to the task,” she said, by relaying spacecraft positioning data during translunar flight to NASA’s Deep Space Network satellites at the Goldstone and Madrid Deep Space Communications Complexes in Fort Irwin, California, and Robledo de Chavela, Spain, respectively.

This image from the lander’s narrow-field-of-view camera was retrieved on Feb. 27. It shows spacecraft hardware in the foreground, and the gaping maw of a 2-billion-year-old lunar crater beyond. It’s approximately 500 meters to the near lip of the crater, and another 500 meters to its far side. Inky black space extends above the horizon.
Taken on Feb. 27, Odysseus captured an image using its narrow-field-of-view camera.
Intuitive Machines

In time, navigation aids such as Lunar Node-1 could be used to augment navigation and communication relays and surface nodes, providing increased robustness and capability to a variety of users in orbit and on the surface.

As the lunar infrastructure expands, Anzalone envisions LN-1 evolving into something akin to a network that monitors and maintains a busy metropolitan subway system, tracking every “train” in real time, and operating as one part of a larger, LunaNet-compatible architecture, augmenting other NASA and international investments, including the Japanese Aerospace Exploration Agency’s Lunar Navigation Satellite System.

And the technology promises even greater value to NASA’s Moon to Mars efforts, he said. LN-1 may improve data delivery to lunar explorers by just a matter of seconds over conventional relays – but real-time navigation and positioning becomes much more vital on Mars, where transmission delays from Earth can take up to 20 minutes.

“That’s a very long time to wait for a spacecraft pilot making a precision orbital adjustment, or humans traversing uncharted Martian landscapes,” Anzalone said. “LN-1 can make lighthouse beacons of every explorer, vehicle, temporary or long-term camp, and site of interest we send to the Moon and to Mars.”

Marshall engineers designed, developed, integrated, and tested LN-1 as part of the NPLP (NASA-Provided Lunar Payloads) project funded by the agency’s Science Mission Directorate. Marshall also developed MAPS (Multi-spacecraft Autonomous Positioning System), the underlying networked computer navigation software. MAPS previously was tested on the International Space Station in 2018, using NASA’s Space Communications and Navigations (SCaN) Testbed.

NASA’s CLPS initiative oversees industry development, testing, and launch of small robotic landers and rovers supporting NASA’s Artemis campaign. Learn more here.

Smith, an Aeyon/MTS employee, supports the Marshall Office of Communications.

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NASA Artemis Mission Progresses with SpaceX Starship Test Flight

As part of NASA’s Artemis campaign to return humans to the Moon for the benefit of all, the agency is working with SpaceX to develop the company’s Starship human landing system (HLS), which will land astronauts near the Moon’s South Pole during the Artemis III and Artemis IV missions. On March 14, SpaceX launched the third integrated flight test of its Super Heavy booster and Starship upper stage, an important milestone toward providing NASA with a Starship HLS for its Artemis missions.

SpaceX launched the third integrated flight test of its Super Heavy booster and Starship upper stage from the company’s Starbase orbital launch pad at 8:25 a.m. CT on March 14. This flight test is an important milestone toward providing NASA with a Starship HLS for its Artemis missions.
SpaceX launched the third integrated flight test of its Super Heavy booster and Starship upper stage from the company’s Starbase orbital launch pad at 8:25 a.m. CT on March 14. This flight test is an important milestone toward providing NASA with a Starship HLS for its Artemis missions.
SpaceX

A complement of 33 Raptor engines, fueled by super-cooled liquid methane and liquid oxygen, powered the Super Heavy booster with Starship stacked on top, from the company’s Starbase orbital launch pad at 8:25 a.m. CDT. Starship, using six Raptor engines, separated from the Super Heavy booster employing a hot-staging technique to fire the engines before separation at approximately three minutes into the flight, in accordance with the flight plan. This was the third flight test of the integrated Super Heavy-Starship system.

“With each flight test, SpaceX attempts increasingly ambitious objectives for Starship to learn as much as possible for future mission systems development. The ability to test key systems and processes in flight scenarios like these integrated tests allows both NASA and SpaceX to gather crucial data needed for the continued development of Starship HLS,” said Lisa Watson-Morgan, HLS Program Manager at NASA’s Marshall Space Flight Center.

This test accomplished several important firsts that will contribute to the development of Starship for Artemis lunar landing missions. The spacecraft reached its expected orbit and Starship completed the full-duration ascent burn.

One objective closely tied to future Artemis operations is the transfer of thousands of pounds of cryogenic propellant between internal tanks during the spacecraft’s coast phase as part of NASA’s Space Technology Missions Directorate 2020 Tipping Point awards. The propellant transfer demonstration operations were completed, and the NASA-SpaceX team is currently reviewing the flight data that was received. This Tipping Point technology demonstration is one of more than 20 development activities NASA is undertaking to solve the challenges of using cryogenic fluids during future missions.

As a key step toward understanding how super-cooled propellant sloshes within the tanks when the engines shut down, and how that movement affects Starship’s stability while in orbit, engineers will study flight test data to assess the performance of thrusters that control Starship’s orientation in space. They are also interested to learn more about how the fluid’s movement within the tanks can be settled to maximize propellant transfer efficiency and ensure Raptor engines receive needed propellant conditions to support restart in orbit.

“Storing and transferring cryogenic propellant in orbit has never been attempted on this scale before,” said Jeremy Kenny, project manager, NASA’s Cryogenic Fluid Management Portfolio at Marshall. “But this is a game-changing technology that must be developed and matured for science and exploration missions at the Moon, Mars, and those that will venture even deeper into our solar system.”

Under NASA’s Artemis campaign, the agency will land the first woman, first person of color, and its first international partner astronaut on the lunar surface and prepare for human expeditions to Mars. Commercial human landing systems are critical to deep space exploration, along with the Space Launch System rocket, Orion spacecraft, advanced spacesuits and rovers, exploration ground systems, and the Gateway space station.

Read more about NASA’s Human Landing System.

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Evolved Adapter for Future NASA SLS Flights Readied for Testing

A test article of the universal stage adapter for NASA’s more powerful version of its SLS (Space Launch System) rocket arrived to Building 4619 at NASA’s Marshall Space Flight Center on Feb. 22 from Leidos in Decatur, Alabama.

A test version of the universal stage adapter for the SLS (Space Launch System) rocket for Artemis 4 is seen inside Marshall Space Flight Center’s facility in Huntsville, Alabama. The adapter sits on a yellow piece of hardware. There is an American flag hanging on the wall to the right and the word “Leidos” is painted black on the white adapter.
A test article of the universal stage adapter for NASA’s more powerful version of its SLS (Space Launch System) rocket arrived to Building 4619 at NASA’s Marshall Space Flight Center on Feb. 22 from Leidos in Decatur, Alabama.
NASA/Sam Lott

The universal stage adapter will connect the rocket’s upgraded in-space propulsion stage, called the exploration upper stage, to NASA’s Orion spacecraft as part of the evolved Block 1B configuration of the SLS rocket. It will also serve as a compartment capable of accommodating large payloads, such as modules or other exploration spacecraft. The SLS Block 1B variant will debut on Artemis IV and will increase SLS’s payload capability to send more than 84,000 pounds to the Moon in a single launch.

In Building 4619’s Load Test Annex High Bay at Marshall, the development test article will first undergo modal testing that will shake the hardware to validate dynamic models. Later, during ultimate load testing, force will be applied vertically and to the sides of the hardware. Unlike the flight hardware, the development test article has flaws intentionally included in its design, which will help engineers verify that the adapter can withstand the extreme forces it will face during launch and flight.

The test article joins an already-rich history of rocket hardware that has undergone high-and-low pressure, acoustic, and extreme temperature testing in the multipurpose, high-bay test facility; it will be tested in the same location that once bent, compressed, and torqued the core stage intertank test article for SLS rocket’s Block 1 configuration. Leidos, the prime contractor for the universal stage adapter, manufactured the full-scale prototype at its Aerospace Structures Complex in Decatur.

NASA is working to land the first woman, first person of color, and its first international partner astronaut on the Moon under Artemis. SLS is part of NASA’s backbone for deep space exploration, along with the Orion spacecraft and Gateway in orbit around the Moon and commercial human landing systems, next-generational spacesuits, and rovers on the lunar surface. SLS is the only rocket that can send Orion, astronauts, and supplies to the Moon in a single launch.

Marshall manages the SLS and human landing system programs.

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NASA Study: Asteroid’s Orbit, Shape Changed After DART Impact

When NASA’s DART (Double Asteroid Redirection Test) deliberately smashed into a 560-foot-wide asteroid on Sept. 26, 2022, it made its mark in more ways than one. The demonstration showed that a kinetic impactor could deflect a hazardous asteroid should one ever be on a collision course with Earth. Now a new study published in the Planetary Science Journal shows the impact changed not only the motion of the asteroid, but also its shape.

1-dimorphos-before-impact-dart.png?w=170
The asteroid Dimorphos was captured by NASA’s DART mission just two seconds before the spacecraft struck its surface on Sept. 26, 2022. Observations of the asteroid before and after impact suggest it is a loosely packed “rubble pile” object.
NASA/Johns Hopkins APL

DART’s target, the asteroid Dimorphos, orbits a larger near-Earth asteroid called Didymos. Before the impact, Dimorphos had a roughly symmetrical “oblate spheroid” shape – like a squashed ball that is wider than it is tall. With a well-defined, circular orbit at a distance of about 3,900 feet from Didymos, Dimorphos took 11 hours and 55 minutes to complete one loop around Didymos.

“When DART made impact, things got very interesting,” said Shantanu Naidu, a navigation engineer at NASA’s Jet Propulsion Laboratory in Southern California, who led the study. “Dimorphos’ orbit is no longer circular: Its orbital period” – the time it takes to complete a single orbit – “is now 33 minutes and 15 seconds shorter. And the entire shape of the asteroid has changed, from a relatively symmetrical object to a ‘triaxial ellipsoid’ – something more like an oblong watermelon.”

Naidu’s team used three data sources in their computer models to deduce what had happened to the asteroid after impact. The first source was aboard DART: The spacecraft captured images as it approached the asteroid and sent them back to Earth via NASA’s Deep Space Network (DSN). These images provided close-up measurements of the gap between Didymos and Dimorphos while also gauging the dimensions of both asteroids just prior to impact.

The second data source was the DSN’s Goldstone Solar System Radar, located near Barstow, California, which bounced radio waves off both asteroids to precisely measure the position and velocity of Dimorphos relative to Didymos after impact. Radar observations quickly helped NASA conclude that DART’s effect on the asteroid greatly exceeded the minimum expectations.

The third and most significant source of data: ground telescopes around the world that measured both asteroids’ “light curve,” or how the sunlight reflecting off the asteroids’ surfaces changed over time. By comparing the light curves before and after impact, the researchers could learn how DART altered Dimorphos’ motion.

As Dimorphos orbits, it periodically passes in front of and then behind Didymos. In these so-called “mutual events,” one asteroid can cast a shadow on the other, or block our view from Earth. In either case, a temporary dimming – a dip in the light curve – will be recorded by telescopes.

See the DART impact with NASA’s Eyes on the Solar System.

“We used the timing of this precise series of light-curve dips to deduce the shape of the orbit, and because our models were so sensitive, we could also figure out the shape of the asteroid,” said Steve Chesley, a senior research scientist at JPL and study co-author. The team found Dimorphos’ orbit is now slightly elongated, or eccentric. “Before impact,” Chesley continued, “the times of the events occurred regularly, showing a circular orbit. After impact, there were very slight timing differences, showing something was askew. We never expected to get this kind of accuracy.”

This illustration shows the approximate shape change that the asteroid Dimorphos experienced after DART hit it. Before impact, left, the asteroid was shaped like a squashed ball; after impact it took on a more elongated shape, like a watermelon.
This illustration shows the approximate shape change that the asteroid Dimorphos experienced after DART hit it. Before impact, left, the asteroid was shaped like a squashed ball; after impact it took on a more elongated shape, like a watermelon.
NASA/JPL-Caltech

The models are so precise, they even show that Dimorphos rocks back and forth as it orbits Didymos, Naidu said.

The team’s models also calculated how Dimorphos’ orbital period evolved. Immediately after impact, DART reduced the average distance between the two asteroids, shortening Dimorphos’ orbital period by 32 minutes and 42 seconds, to 11 hours, 22 minutes, and 37 seconds.

Over the following weeks, the asteroid’s orbital period continued to shorten as Dimorphos lost more rocky material to space, finally settling at 11 hours, 22 minutes, and 3 seconds per orbit – 33 minutes and 15 seconds less time than before impact. This calculation is accurate to within 1 ½ seconds, Naidu said. Dimorphos now has a mean orbital distance from Didymos of about 3,780 feet – about 120 feet closer than before impact.

“The results of this study agree with others that are being published,” said Tom Statler, lead scientist for solar system small bodies at NASA Headquarters. “Seeing separate groups analyze the data and independently come to the same conclusions is a hallmark of a solid scientific result. DART is not only showing us the pathway to an asteroid-deflection technology, it’s revealing new fundamental understanding of what asteroids are and how they behave.”

These results and observations of the debris left after impact indicate that Dimorphos is a loosely packed “rubble pile” object, similar to asteroid Bennu. ESA’s (European Space Agency) Hera mission, planned to launch in October 2024, will travel to the asteroid pair to carry out a detailed survey and confirm how DART reshaped Dimorphos.

DART was designed, built, and operated by the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, for NASA’s Planetary Defense Coordination Office, which oversees the agency’s ongoing efforts in planetary defense. The mission is a project of the agency’s Planetary Mission Program Office, which is at NASA’s Marshall Space Flight Center. DART was humanity’s first mission to intentionally move a celestial object.

JPL, a division of Caltech in Pasadena, California, manages the DSN for NASA’s Space Communications and Navigation (SCaN) program within the Space Operations Mission Directorate at the agency’s headquarters.

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Crew, Cargo Launches to Space Station Scheduled for March 21

Equipment installs, health investigations, and training occupied the schedule aboard the International Space Station on March 19 as the seven orbital residents near the arrival of three crew members and a cargo delivery.

nasa-johnson-astronauts.jpg?w=2048
NASA astronaut Tracy C. Dyson, Roscosmos cosmonaut Oleg Novitskiy, and spaceflight participant Marina Vasilevskaya of Belarus pose for a portrait at the Gagarin Cosmonaut Training Center on Nov. 2, 2023.
Credits: GCTC/Andrey Shelepin

NASA’s SpaceX 30th commercial resupply mission to the station is scheduled for launch at 3:55 p.m. CDT March 21 from Space Launch Complex 40 in Florida. The Dragon cargo craft will deliver food, supplies, and new science investigations to the crew, including a set of sensors for the free-flying Astrobee robots and a new botany experiment to examine how two types of grass capture carbon dioxide from the atmosphere. Dragon will autonomously dock to the zenith port of the Harmony module at 6:30 a.m. March 23.

Ahead of Dragon’s liftoff, three crew members – NASA astronaut Tracy Dyson, cosmonaut Oleg Novitsky, and Flight Engineer Marina Vasilevskaya of Belarus – will launch from the Baikonur Cosmodrome in Kazakhstan at 8:21 a.m. March 21. The international crew will take a short ride to the station, docking only a few hours later at 11:39 p.m., before opening the hatch and joining the Expedition 70 crew in microgravity. Dyson will begin a six-month microgravity research mission once aboard, while Novitsky and Vasilevskaya will spend 12 days on station before departing back to Earth with NASA astronaut Loral O’Hara.

NASA TV will cover both launches beginning at 7:20 a.m. and 3:35 p.m. respectively.

Aboard station, the crew returned to work March 19 following a few days off-duty. Throughout the day, O’Hara and two of her NASA crewmates, Michael Barratt and Matthew Dominick, completed a round of SpaceX Dragon rendezvous training ahead of Dragon’s cargo arrival.

The HOSC (Huntsville Operations Support Center) at NASA’s Marshall Space Flight Center provides engineering and mission operations support for the space station, the Commercial Crew Program, and Artemis missions, as well as science and technology demonstration missions. The Payload Operations Integration Center within the HOSC operates, plans, and coordinates the science experiments onboard the space station 365 days a year, 24 hours a day.

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Europa Clipper Mission Highlighted on ‘This Week at NASA’

Technicians at NASA’s Kennedy Space Center recently fully extended the first of two five-panel solar arrays for the agency’s Europa Clipper spacecraft. The mission is featured in “This Week @ NASA,” a weekly video program broadcast on NASA-TV and posted online.

The 46.5-foot arrays also will be inspected and cleaned as part of assembly, test, and launch operations. Targeted for launch in October 2024, the mission will study Jupiter’s moon Europa, which is believed to have a global ocean beneath its icy crust that has more water than all of Earth’s oceans combined.

Managed by Caltech in Pasadena, California, JPL leads the development of the Europa Clipper mission in partnership with the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, for NASA’s Science Mission Directorate. APL designed the main spacecraft body in collaboration with JPL and NASA’s Goddard Space Flight Center. The Planetary Missions Program Office at NASA’s Marshall Space Flight Center executes program management of the Europa Clipper mission.

View this and previous episodes at “This Week @NASA” on NASA’s YouTube page.

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      Quantifying the changing structure and extent of benthic coral communities is essential for informing restoration efforts and identifying stressed regions of coral. Accurate classification of shallow-water benthic coral communities requires high spectral and spatial resolution, currently not available on spaceborne sensors, to observe the seafloor through an optically complex seawater column. Here we create a shallow water benthic cover type map of Kaneohe Bay, Oahu, Hawaii using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) without requiring in-situ data as inputs. We first run the AVIRIS data through a semi-analytical inversion model to derive color dissolved organic matter, chlorophyll concentration, bottom albedo, suspended sediment, and depth parameters for each pixel, which are then matched to a Hydrolight simulated water column. Pure reflectance for coral, algae, and sand are then projected through each water column to create spectral endmembers for each pixel. Multiple Endmember Spectral Mixture Analysis (MESMA) provides fractional cover of each benthic class on a per-pixel basis. We demonstrate the efficacy of using simulated water columns to create surface reflectance spectral endmembers as Hydrolight-derived in-situ endmember spectra strongly match AVIRIS surface reflectance for corresponding locations (average R = 0.96). This study highlights the capabilities of using medium-fine resolution hyperspectral imagery to identify fractional cover type of localized coral communities and lays the groundwork for future spaceborne hyperspectral monitoring of global coral communities.

      Atticus Cummings
      Quantifying Uncertainty In Kelp Canopy Remote Sensing Using the Harmonized Landsat Sentinel-2 Dataset
      Atticus Cummings
      California’s giant kelp forests serve as a major foundation for the region’s rich marine biodiversity and provide recreational and economic value to the State of California. With the rising frequency of marine heatwaves and extreme weather onset by climate change, it has become increasingly important to study these vital ecosystems. Kelp forests are highly dynamic, changing across several timescales; seasonally due to nutrient concentrations, waves, and predator populations, weekly with typical growth and decay, and hourly with the tides and currents. Previous remote sensing of kelp canopies has relied on Landsat imagery taken with a eight-day interval, limiting the ability to quantify more rapid changes. This project aims to address uncertainty in kelp canopy detection using the Harmonized Landsat and Sentinel-2 (HLS) dataset’s zero to five-day revisit period. A random forest classifier was used to identify pixels that contain kelp, on which Multiple Endmember Spectral Mixture Analysis (MESMA) was then run to quantify intrapixel kelp density. Processed multispectral satellite images taken within 3 days of one another were paired for comparison. The relationship between fluctuations in kelp canopy density with tides and currents was assessed using in situ data from an acoustic doppler current profiler (ADCP) at the Santa Barbara Long Term Ecological Research site (LTER) and a NOAA tidal buoy. Preliminary results show that current and tidal trends cannot be accurately correlated with canopy detection due to other sources of error. We found that under cloud-free conditions, canopy detection between paired images varied on average by 42%. Standardized image processing suggests that this uncertainty is not created within the image processing step, but likely arises due to exterior factors such as sensor signal noise, atmospheric conditions, and sea state. Ultimately, these errors could lead to misinterpretation of remotely sensed kelp ecosystems, highlighting the need for further research to identify and account for uncertainties in remote sensing of kelp canopies.

      Jasmine Sirvent
      Kelp Us!: A Methods Analysis for Predicting Kelp Pigment Concentrations from Hyperspectral Reflectance
      Jasmine Sirvent
      Ocean color remote sensing enables researchers to assess the quantity and physiology of life in the ocean, which is imperative to understanding ecosystem health and formulating accurate predictions. However, without proper methods to analyze hyperspectral data, correlations between spectral reflectance and physiological traits cannot be accurately derived. In this study, I explored different methods—single variable regression, partial least squares regressions (PLSR), and derivatives—in analyzing in situ Macrocystis pyrifera (giant kelp) off the coast of Santa Barbara, California in order to predict pigment concentrations from AVIRIS hyperspectral reflectance. With derivatives as a spectral diagnostic tool, there is evidence suggesting high versus low pigment concentrations could be diagnosed; however, the fluctuations were within 10 nm of resolution, thus AVIRIS would be unable to reliably detect them. Exploring a different method, I plotted in situ pigment measurements — chlorophyll a, fucoxanthin, and the ratio of fucoxanthin to chlorophyll a—against hyperspectral reflectance that was resampled to AVIRIS bands. PLSR proved to be a more successful model because of its hyperdimensional analysis capabilities in accounting for multiple wavelength bands, reaching R2 values of 0.67. Using this information, I constructed a model that predicts kelp pigments from simulated AVIRIS reflectance using a spatial time series of laboratory spectral measurements and photosynthetic pigment concentrations. These results have implications, not only for kelp, but many other photosynthetic organisms detectable by hyperspectral airborne or satellite sensors. With these findings, airborne optical data could possibly predict a plethora of other biogeochemical traits. Potentially, this research would permit scientists to acquire data analogous to in situ measurements about floating matters that cannot financially and pragmatically be accessed by anything other than a remote sensor.

      Isabelle Cobb
      Correlations Between SSHa and Chl-a Concentrations in the Northern South China Sea
      Isabelle Cobb
      Sea surface height anomalies (SSHa)–variations in sea surface height from climatological averages–occur on seasonal timescales due to coastal upwelling and El Niño-Southern Oscillation (ENSO) cycles. These anomalies are heightened when upwelling plumes bring cold, nutrient-rich water to the surface, and are particularly strong along continental shelves in the Northern South China Sea (NSCS). This linkage between SSHa and nutrient availability has interesting implications for changing chlorophyll-a (chl-a) concentrations, a prominent indicator of phytoplankton biomass that is essential to the health of marine ecosystems. Here, we evaluate the long-term (15 years) relationship between SSHa and chl-a, in both satellite remote sensing data and in situ measurements. Level 3 SSHa data from Jason 1/2/3 satellites and chl-a data from MODIS Aqua were acquired and binned to monthly resolution. We found a significant inverse correlation between SSHa and chl-a during upwelling months in both the remote sensing (Spearman’s R=-0.57) and in situ data, with higher resolution in situ data from ORAS4 (an assimilation of buoy observations from 2003-2017) showing stronger correlations (Spearman’s R=-0.75). In addition, the data reveal that the magnitude of SSH increases with time during instances of high correlation, possibly indicating a trend of increased SSH associated with reduced seasonal chl-a concentrations. Thus, this relationship may inform future work predicting nutrient availability and threats to marine ecosystems as climate change continues to affect coastal sea surface heights.

      Alyssa Tou
      Exploring Coastal Sea Surface Temperature Anomalies and their effect on Coastal Fog through analyzing Plant Phenology
      Alyssa Tou
      Marine heat waves (MHW) have been increasing in frequency, duration and intensity, giving them substantial potential to influence ecosystems. Do these MHWs sufficiently enhance coastal precipitation such that plant growth is impacted? Recently, the Northeast Pacific experienced a long, intense MHW in 2014/2015, and another short, less intense MHW in 2019/2020. Here we investigate how the intensity and duration of MHWs influence the intensity and seasonal cycle of three different land cover types (‘grass’, ‘trees’, and a combination of both ‘combined’’) to analyze plant phenology trends in Big Sur, California. We hypothesize that longer intense MHWs decrease the ocean’s evaporative capacity, decreasing fog, thus lowering plant productivity, as measured by Normalized Difference Vegetation Index (NDVI). Sea surface temperature (SST) and NDVI data were collected from the NOAA Coral Reef Watch, and NASA MODIS/Terra Vegetation Indices 16-Day L3 Global 250m products respectively. Preliminary results show no correlation (R2=0.02) between SSTa and combined NDVI values and no correlation (R2=0.01) between SST and NDVI. This suggests that years with anomalously high SST do not significantly impact plant phenology. During the intense and long 2014/2015 MHW, peak NDVI values for ‘grass’ and ‘combined’ pixels were 2.0 and 1.7 standard deviations above the climatological average, while the shorter 2019/2020 MHW saw higher peaks of 3.2 and 2.4 standard deviations. However, the ‘grass’, ‘tree’ and ‘combined’ NDVI anomalies were statistically insignificant during both MHWs, showing that although NDVI appeared to increase during the shorter and less intense MHW, these values may be attributed to other factors. The data qualitatively suggest that MHW’s don’t impact the peak NDVI date, but more data at higher temporal resolution are necessary. Further research will involve analyzing fog indices and exploring confounding variables impacting NDVI, such as plant physiology, anthropogenic disturbance, and wildfires. In addition, it’s important to understand to what extent changes in NDVI are attributed to the driving factors of MHWs or the MHWs themselves. Ultimately, mechanistically understanding the impacts MHW intensity and duration have on terrestrial ecosystems will better inform coastal community resilience.


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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      10 min read SARP East 2024 Atmospheric Science Group
      Article 21 mins ago 10 min read SARP East 2024 Hydroecology Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • By NASA
      10 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Guanyu Huang, Stony Brook University
      Graduate Mentor:
      Ryan Schmedding, McGill University

      Ryan Schmedding, Graduate Mentor
      Ryan Schmedding, graduate mentor for the 2024 SARP Atmospheric Science group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
      Danielle Jones
      Remote sensing of poor air quality in mountains: A case study in Kathmandu, Nepal
      Danielle Jones
      Urban activity produces particulate matter in the atmosphere known as aerosol particles. These aerosols can negatively affect human health and cause changes to the climate system. Measures for aerosols include surface level PM2.5 concentration and aerosol optical depth (AOD). Kathmandu, Nepal is an urban area that rests in a valley on the edge of the Himalayas and is home to over three million people. Despite the prevailing easterly winds, local aerosols are mostly concentrated in the valley from the residential burning of coal followed by industry. Exposure to PM2.5 has caused an estimated ≥8.6% of deaths annually in Nepal. We paired NASA satellite AOD and elevation data, model  meteorological data, and local AirNow PM2.5 and air quality index (AQI) data to determine causes of variation in pollutant measurement during 2023, with increased emphasis on the post-monsoon season (Oct. 1 – Dec. 31). We see the seasonality of meteorological data related to PM2.5 and AQI. During periods of low temperature, low wind speed, and high pressure, PM2.5 and AQI data slightly diverge. This may indicate that temperature inversions increase surface level concentrations of aerosols but have little effect on the total air column. The individual measurements of surface pressure, surface temperature, and wind speed had no observable correlation to AOD (which was less variable than PM2.5 and AQI over the entire year). Elevation was found to have no observable effect on AOD during the period of study. Future research should focus on the relative contributions of different pollutants to the AQI to test if little atmospheric mixing causes the formation of low-altitude secondary pollutants in addition to PM2.5 leading to the observed divergence in AQI and PM2.5.

      Madison Holland
      Analyzing the Transport and Impact of June 2023 Canadian Wildfire Smoke on Surface PM2.5 Levels in Allentown, Pennsylvania
      Madison Holland
      The 2023 wildfire season in Canada was unparalleled in its severity. Over 17 million hectares burned, the largest area ever burned in a single season. The smoke from these wildfires spread thousands of kilometers, causing a large population to be exposed to air pollution. Wildfires can release a variety of air pollutants, including fine particulate matter (PM2.5). PM2.5 directly affects human health – exposure to wildfire-related PM2.5 has been associated with respiratory issues such as the exacerbation of asthma and chronic obstructive pulmonary disease. In June 2023, smoke from the Canadian wildfires drifted southward into the United States. The northeastern United States reported unhealthy levels of air quality due to the transportation of the smoke. In particular, Pennsylvania reported that Canadian wildfires caused portions of the state to have “Hazardous” air quality. Our research focused on how Allentown, PA experienced hazardous levels of air quality from this event. To analyze the concentrations of PM2.5 at the surface level, NASA’s Hazardous Air Quality Ensemble System (HAQES) and the EPA’s Air Quality System (AQS) ground-based site data were utilized. By comparing HAQES’s forecast of hazardous air quality events with recorded daily average PM2.5 with the EPA’s AQS, we were able to compare how well the ensemble system was at predicting total PM2.5 during unhealthy air quality days. NOAA’s Hybrid Single-Particle Lagrangian Integrated Trajectory model, pyrsig, and the Canadian National Fire Database were used. These datasets revealed the trajectory of aerosols from the wildfires to Allentown, Pennsylvania, identified the densest regions of the smoke plumes, and provided a map of wildfire locations in southeastern Canada. By integrating these datasets, we traced how wildfire smoke transported aerosols from the source at the ground level.

      Michele Iraci
      Trends and Transport of Tropospheric Ozone From New York City to Connecticut in the Summer of 2023
      Michele Iraci
      Tropospheric Ozone, or O₃, is a criteria pollutant contributing to most of Connecticut and New York City’s poor air quality days. It has adverse effects on human health, particularly for high-risk individuals. Ozone is produced by nitrogen oxides and volatile organic compounds from fuel combustion reacting with sunlight. The Ozone Transport Region (OTR) is a collection of states in the Northeast and Mid-Atlantic United States that experience cross-state pollution of O₃. Connecticut has multiple days a year where O₃ values exceed the National Ambient Air Quality Standards requiring the implementation of additional monitoring and standards because it falls in the OTR. Partially due to upstream transport from New York City, Connecticut experiences increases in O₃ concentrations in the summer months. Connecticut has seen declines in poor air quality days from O₃ every year due to the regulations on ozone and its precursors. We use ground-based Lidar, Air Quality System data, and a back-trajectory model to examine a case of ozone enhancement in Connecticut caused by air pollutants from New York between June and August 2023. In this time period, Connecticut’s ozone enhancement was caused by air pollutants from New York City. As a result, New York City and Connecticut saw similar O₃ spikes and decline trends. High-temperature days increase O₃ in both places, and wind out of the southwest may transport O₃ to Connecticut. Production and transport of O₃ from New York City help contribute to Connecticut’s poor air quality days, resulting in the need for interstate agreements on pollution management.

      Stefan Sundin
      Correlations Between the Planetary Boundary Layer Height and the Lifting Condensation Level
      Stefan Sundin
      The Planetary Boundary Layer (PBL) characterizes the lowest layer in the atmosphere that is coupled with diurnal heating at the surface. The PBL grows during the day as solar heating causes pockets of air near the surface to rise and mix with cooler air above. Depending on the type of terrain and surface albedo that receives solar heating, the depth of the PBL can vary to a great extent. This makes PBL height (PBLH) a difficult variable to quantify spatially and temporally. While several methods have been used to obtain the PBLH such as wind profilers and lidar techniques, there is still a level of uncertainty associated with PBLH. One method of predicting seasonal PBLH fluctuation and potentially lessening uncertainty that will be discussed in this study is recognizing a correlation in PBLH with the lifting condensation level (LCL). Like the PBL, the LCL is used as a convective parameter when analyzing upper air data, and classifies the height in the atmosphere at which a parcel becomes saturated when lifted by a forcing mechanism, such as a frontal boundary, localized convergence, or orographic lifting. A reason to believe that PBLH and LCL are interconnected is their dependency on both the amount of surface heating and moisture that is present in the environment. These thermodynamic properties are of interest in heavily populated metropolitan areas within the Great Plains, as they are more susceptible to severe weather outbreaks and associated economic losses. Correlations between PBLH and LCL over the Minneapolis-St. Paul metropolitan statistical area during the summer months of 2019-2023 will be discussed.

      Angelica Kusen
      Coupling of Chlorophyll-a Concentrations and Aerosol Optical Depth in the Subantarctic Southern Ocean and South China Sea (2019-2021)
      Angelica Kusen
      Air-sea interactions form a complex feedback mechanism, whereby aerosols impact physical and biogeochemical processes in marine environments, which, in turn, alter aerosol properties. One key indicator of these interactions is chlorophyll-a (Chl-a), a pigment common to all phytoplankton and a widely used proxy for primary productivity in marine ecosystems. Phytoplankton require soluble nutrients and trace metals for growth, which typically come from oceanic processes such as upwelling. These nutrients can also be supplied via wet and dry deposition, where atmospheric aerosols are removed from the atmosphere and deposited into the ocean. To explore this interaction, we analyze the spatial and temporal variations of satellite-derived chl-a and AOD, their correlations, and their relationship with wind patterns in the Subantarctic Southern Ocean and the South China Sea from 2019 to 2021, two regions with contrasting environmental conditions.
      In the Subantarctic Southern Ocean, a positive correlation (r²= 0.26) between AOD and Chl-a was found, likely due to dust storms following Austrian wildfires. Winds deposit dust aerosols rich in nutrients, such as iron, to the iron-limited ocean, enhancing phytoplankton photosynthesis and increasing chl-a. In contrast, the South China Sea showed no notable correlation (r² = -0.02) between AOD and chl-a. Decreased emissions due to COVID-19 and stricter pollution controls likely reduced the total AOD load and shifted the composition of aerosols from anthropogenic to more natural sources.
      These findings highlight the complex interrelationship between oceanic biological activity and the chemical composition of the atmosphere, emphasizing that atmospheric delivery of essential nutrients, such as iron and phosphorus, promotes phytoplankton growth. Finally, NASA’s recently launched PACE mission will contribute observations of phytoplankton community composition at unprecedented scale, possibly enabling attribution of AOD levels to particular groups of phytoplankton.

      Chris Hautman
      Estimating CO₂ Emission from Rocket Plumes Using in Situ Data from Low Earth Atmosphere
      Chris Hautman
      Rocket emissions in the lower atmosphere are becoming an increasing environmental concern as space exploration and commercial satellite launches have increased exponentially in recent years. Rocket plumes are one of the few known sources of anthropogenic emissions directly into the upper atmosphere. Emissions in the lower atmosphere may also be of interest due to their impacts on human health and the environment, in particular, ground level pollutants transported over wildlife protected zones, such as the Everglades, or population centers near launch sites. While rockets are a known source of atmospheric pollution, the study of rocket exhaust is an ongoing task. Rocket exhaust can have a variety of compositions depending on the type of engine, the propellants used, including fuels, oxidizers, and monopropellants, the stoichiometry of the combustion itself also plays a role. In addition, there has been increasing research into compounds being vaporized in atmospheric reentry. These emissions, while relatively minimal compared to other methods of travel, pose an increasing threat to atmospheric stability and environmental health with the increase in human space activity. This study attempts to create a method for estimating the total amount of carbon dioxide released by the first stage of a rocket launch relative to the mass flow of RP-1, a highly refined kerosene (C₁₂H₂₆)), and liquid oxygen (LOX) propellants. Particularly, this study will focus on relating in situ CO₂ emission data from a Delta II rocket launch from Vandenberg Air Force Base on April 15, 1999, to CO₂ emissions from popular modern rockets, such as the Falcon 9 (SpaceX) and Soyuz variants (Russia). The findings indicate that the CO₂ density of any RP-1/LOX rocket is 6.9E-7 times the mass flow of the sum of all engines on the first stage. The total mass of CO₂ emitted can be further estimated by modeling the volume of the plume as cylindrical. Therefore, the total mass can be calculated as a function of mass flow and first stage main engine cutoff. Future CO₂ emissions on an annual basis are calculated based on these estimations and anticipated increases in launch frequency.


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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      8 min read SARP East 2024 Ocean Remote Sensing Group
      Article 21 mins ago 10 min read SARP East 2024 Hydroecology Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • By NASA
      10 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Dom Ciruzzi, College of William & Mary
      Graduate Mentor:
      Marley Majetic, Pennsylvania State University

      Marley Majetic, Graduate Mentor
      Marley Majetic, graduate mentor for the 2024 SARP Hydroecology group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
      Jordan DiPrima
      How are different land cover types affected by land subsidence on the U.S. Atlantic Coast?
      Jordan DiPrima
      Land subsidence is a frequently overlooked geologic hazard that is caused by natural processes and, more recently, anthropogenic stressors. The goal of this study is to observe subsidence trends and hotspots among land cover types on Virginia’s Eastern Shore and Long Island, New York. This study utilizes interferometric synthetic aperture radar, or InSAR, satellite data from Sentinel-1 to map vertical land motion from 2017 to 2023. Land cover data were sourced from Landsat 8 satellite imagery. Subsidence was mapped within the following land cover types on the Eastern Shore: urban, wetland, cropland, temperate or sub-polar grassland, temperate or sub-polar shrubland, mixed forest, and temperate or subpolar needleleaf forest. These land cover types have mean vertical velocities ranging from -0.2 mm/yr to -5.2 mm/yr. Results suggest that land subsidence is most severe in cropland areas on the Eastern Shore, with a mean vertical velocity of -5.2 mm/yr. In contrast, wetlands display the most subsidence on Long Island with a mean vertical velocity of -2.1 mm/yr. Long Island lacked distinct trends among land cover types and instead showed evidence of subsidence hotspots. These hotspots exist in the following land cover types: temperate or sub-polar grassland, barren lands, wetland, cropland, and temperate or sub-polar broadleaf deciduous forest. Overall, Eastern Shore croplands and Long Island wetlands were determined to be the most susceptible land cover types. These findings highlight regions at risk of sea level rise, flooding, and coastal erosion as a result of subsidence. With further research, we can map subsiding landscapes on a global scale to improve resource allocation and mitigation techniques.

      Isabelle Peterson
      Total Thermokarst Lake Changes on the Seward Peninsula, Alaska: 2016 to 2024
      Isabelle Peterson
      Thermokarst landscapes have and will continue to change as the arctic landscape warms due to climate change. Permafrost underlies much of these arctic landscapes, and as it melts, thermokarst landscapes are left behind. The Seward Peninsula in Alaska has an abundance of these landscapes, and thermokarst lakes are present in the northernmost portion. Several lakes have come and gone, but with increasing climate instability and warming of the area, there is a possibility of more permafrost melting, creating more of these lakes. To capture these changes, Harmonized Landsat Sentinel-2 (HLS) imagery were used to create annual lake maps of the northern portion of the Seward Peninsula from 2016 to 2024. Much of the methodology was informed from Jones et al. (2011); however, their study used eCognition, while the present study used ArcGIS Pro. This caused some differences in results likely due to the differences in software, satellite imagery, and the proposed study area. Lake number changes were observed annually. From this annual change, several 10 to 40 ha lakes disappeared and reappeared within the study period, along with smaller lakes filling in where larger lakes once were. Thermokarst lake drainage is a process described by Jones and Arp (2015) which has devastating geomorphological impacts on the surrounding area, creating large drainage troughs which diminish surrounding permafrost in a quick time frame. To capture these events and overall changes, satellite imagery is essential. This is especially true in remote regions which are hard to reach by foot and require flight missions to be scheduled over the area for aerial photography. However, LVIS and other higher resolution aerial instruments would provide higher accuracy when identifying smaller lakes, as satellite imagery does not accurately capture lakes below 1 ha in the study area. This assertion is made due to conflicting results compared to Jones et al (2011). While the methodologies of this study have been executed manually, Qin, Zhang, and Lu (2023) have proposed the idea of using Sentinel-2 imagery to map thermokarst lakes through automatic methods. While automatization has not yet been perfected, the potential is there and can be used to analyze thermokarst areas effectively. With more satellite imagery, annual, monthly, and potentially daily changes can be captured in favorable months to monitor changing landscapes in arctic regions. Thermokarst lakes have been changing, and monitoring them can help in the process of understanding the changing climate in arctic areas, especially through the lens melting permafrost.

      Emmanelle Cuasay
      Finding Refuge in Climate Crisis: Analyzing the Differences between Refugia and Non-Refugia in the Northern Philippines Using Remote Sensing
      Emmanelle Cuasay
      Refugia are areas that are characterized by stable environmental conditions that can act as a refuge for species as Earth’s climate warms. In this study, fourteen Harmonized Landsat Sentinel-2 images from February 2014 – March 2024 of the northern Philippines region were used. The region of interest is the terrestrial biome by Lake Taal. Normalized Difference Vegetation Index (NDVI) maps were created from all fourteen images to determine the NDVI 25th highest quartiles of the long-term average NDVI images and of a dry and wet year NDVI image. These values were then used to create refugia and non-refugia maps using ArcGIS Pro. Land cover data from Sentinel-2 and a digital elevation model (DEM), using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), were plotted in ArcGIS Pro to determine the slope and aspect of the area. Global Ecosystems Dynamics Investigation (GEDI) data were used to look at forest height of the study area, and the distribution of forest height, slope, aspect, and elevation were plotted to determine their probability densities in refugia and non-refugia areas. Results of this study show increased biomass in refugia areas. This suggests that conservation practices are crucial to aid in the preservation of biodiversity and biomass within these refugia areas.

      Jayce Crayne
      Site-Based Observations of a Saharan Dust Storm’s Impacts on Evapotranspiration in North-Central Florida
      Jayce Crayne
      Saharan dust storms serve an important role in the western Atlantic’s climate in their contribution to Earth’s radiation budget, modulating sea surface temperatures (SSTs), fertilizing ecosystems, and suppressing cloud and precipitation patterns (Yuan et al., 2020). However, Saharan dust storms are expected to become less frequent in this region as SSTs continue to rise (Yuan et al., 2020). Predicting the climate response to this change requires a keen understanding of how the presence of these storms affect evapotranspiration (ET) and its indicators. This study utilizes site-based observational data from an AmeriFlux tower near Gainesville, FL recorded during a large dust storm in late June 2020. The storm’s progression was documented using satellite imagery from Aqua and Terra and aerosol optical depth (AOD) measurements from an Aerosol Robotic Network (AERONET) station co-located with the AmeriFlux tower. Indicators of ET such as surface air temperature, vapor pressure deficit, photosynthetic photon flux density, and net radiation were analyzed. Findings were compared to modeled ET and latent energy flux reanalysis data provided by the Global Land Data Assimilation System (GLDAS). Both model simulations and on-site observations support that ET decreased during the days dust concentrations were heaviest and for a short time thereafter. Cloud cover data adopted from meteorological aerodrome reports (METARs) provided by an automated surface observing system (ASOS) located in Gainesville showed that clouds were not a major contributor in decreasing ET during the days of heaviest dust. The results of this study show a considerable decrease in ET as a result of dust aerosols. Further research is necessary to determine whether changes in ET due to Saharan dust storms are significant enough to alter climates in the western Atlantic and, if so, what the climate response will be if the frequency of storms decreases.

      Brandon Wilson
      Predicting 2025 and 2028 dNBR and dNDIV for Csarf Smith River Complex / Evaluating the Effects of 2019 California Wildfire Fund
      Brandon Wilson
      Biodiverse regions across California remain vulnerable to harmful wildfires year round. Quantifying and measuring these regions’ wildfire resilience is necessary for understanding where/how to allocate environmental resources. Several ecological wildfire studies have been conducted utilizing artificial intelligence and remote sensing to analyze and predict biodiversity damage across wildfire prone regions, including Northern Algeria and Arkansas, USA. The current case study aims to analyze biodiversity damage from the 2023 Csarf Smith River Complex Fire in Six Rivers National Forest, California and predict the difference in Normalized Burn Ratio (dNBR) and difference in Normalized Difference Vegetation Index (dNDVI) for 2025 and 2028 using remote-sensing-based random forest (RF) regression. Furthermore, to observe, holistically, a practical method California has implemented to address state-wide wildfire damage, the 2019 California Wildfire Fund (AB 1054 and AB 111) was evaluated using the synthetic control method (SCM). For this case study, remote sensing data from the United States Geological Survey (USGS) and NASA (Landsat 9 Satellite C2 L2, TerraClimate and the Land Data Assimilation System) were utilized for processing relevant spectral indexes for the RF. Data from NOAA, Energy Information Agency, International Monetary Fund and Bureau of Economic Analysis were utilized as synthetic control datasets to evaluate the effects of the 2019 California Wildfire Fund. Elevated topography in this study area is susceptible to high severity burn effects, while less elevated topography burns less. This result affected dNBR and dNDVI predictions as elevated areas seemingly did not have strong resilience to rampant burns. This demonstrates a direct correlation to potential lower transpiration rates for elevated areas, warranting further analysis. Results of low variance, post-treatment, between the treated unit and the synthetic control unit, poses concern for the positive effect of the 2019 Wildfire Fund.

      Carrie Hashimoto
      Describing changes in evapotranspiration following the 2020 Creek Fire in the southern Sierra Nevada
      Carrie Hashimoto
      Climatic warming and high tree density have caused larger and more severe wildfires to occur in western United States forests over time. Wildfires affect both the hydrology and ecology of forests via alterations to the water balance (e.g., evapotranspiration, streamflow, infiltration, and more) and could shift vegetation communities and subsequent ecosystem structure and function. This project explores ecological characteristics of a landscape that predict the extent to which the Creek Fire in the southern Sierra Nevada has affected evapotranspiration. Strides in understanding of consequential evapotranspiration changes can create pathways to address emerging forest health challenges posed by similar western fires. For analysis, various remote sensing and modeled data were collected from OpenET, the North American Land Data Assimilation System, TerraClimate, Harmonized LandSat Sentinel-2 data, and the Shuttle Radar Topography Mission. Multiple linear regression and generalized additive models were constructed. Relative change in evapotranspiration served as the response variable. Model covariates included average temperature, total precipitation in the preceding months, average soil moisture, elevation, slope, aspect, northness, latitude, pre-fire normalized difference vegetation index (NDVI), and post-fire change in normalized burn ratio (dNBR). Best subset selection with cross validation demonstrated minimization of cross-validation error with a 7-covariate model. This reduced model yields lower complexity and more interpretability while sustaining an adjusted R2 of 0.626, compared to the full model’s adjusted R2 of 0.663. A reduced generalized additive model (GAM) with interaction terms drawn from the linear model variable selection demonstrated an adjusted R2 of 0.695, indicating a better fit that comes at the cost of reduced interpretability and higher computational requirements than the linear models. The goal of this work is to disentangle environmental indicators of post-fire evapotranspiration change, such that predictive modeling of future wildfire impacts on evapotranspiration can be achieved.


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      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      8 min read SARP East 2024 Ocean Remote Sensing Group
      Article 21 mins ago 10 min read SARP East 2024 Atmospheric Science Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
    • By NASA
      11 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Lisa Haber, Virginia Commonwealth University
      Dr. Brandon Alveshere, Virginia Commonwealth University
      Dr. Chris Gough, Virginia Commonwealth University
      Graduate Mentor:
      Mindy Priddy, Virginia Commonwealth University

      Mindy Priddy, Graduate Mentor
      Mindy Priddy, graduate mentor for the 2024 SARP Terrestrial Fluxes group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.

      Angelina De La Torre
      Using NDVI as a Proxy for GPP to Predict Carbon Dioxide Fluxes
      Angelina De La Torre
      Climate change, driven primarily by greenhouse gases, poses a threat to the future of our planet. Among these gases is carbon dioxide (CO₂), which has a much longer atmospheric residence time compared to other greenhouse gases. One potential factor in reducing atmospheric CO₂ enrichment is plant productivity. Gross Primary Productivity (GPP) estimates the amount of CO₂ fixed during photosynthesis. The Normalized Difference Vegetation Index (NDVI) provides insight into the health of an ecosystem by measuring the density and greenness of vegetation. Therefore, it can be inferred that there is a relationship between NDVI and GPP, as greener plants are likely more productive. In this study, we used NDVI as a proxy for GPP and analyzed the effect NDVI had on CO₂ fluxes during California’s wet season between January and March 2023 in a restored tidal freshwater wetland. GPP and CO₂ flux data were obtained from the Dutch Slough AmeriFlux tower in Oakley, California. Landsat data were used to calculate the average NDVI. The influence of NDVI on GPP was assessed using linear regression. A second linear regression was then performed using NDVI and CO₂ flux, of which GPP is one component. We anticipate that wetlands with greater vegetation density will have lower CO₂ emissions.

      Because Landsat data scans in 16-day intervals, daily variation in NDVI could not be observed. This translates to a frequency discrepancy between the Landsat and AmeriFlux data, as AmeriFlux towers measure in half-hour intervals. Additionally, the wet season represented was limited by data availability, as the data before 2023 were unavailable. Despite data limitations in this study, the outlined process could be repeated in various wetland and climate classifications for further analysis of a larger sample size. This study could assist in developing strategies to increase CO₂ sequestration in an attempt to slow the effects of climate change.

      Samarth Jayadev
      Using Machine Learning to Assess Relationships between NDVI and Net Carbon Exchange During the COVID-19 Pandemic
      Samarth Jayadev
      Understanding the movement of carbon between Earth’s land surface and atmosphere is essential for ecosystem monitoring, creating climate change mitigation strategies, and assessing the carbon budget on national to global scales. Measures of greenness serve as indicators of processes such as photosynthesis that control carbon exchange and are vital in modeling of carbon fluxes. NASA’s Orbiting Carbon Observatory (OCO-2) provides high quality measurements of column-averaged CO₂ concentrations that can be used to derive net carbon exchange (NCE), a measure of CO₂ flux between terrestrial ecosystems and the atmosphere.
      From OCO-2, NCE data collected at the land nadir, land glint satellite position combined with in situ sampling can provide accurate measurements on a 1°x1° scale suitable for carbon flux characterization across the contiguous United States (CONUS). Normalized difference vegetation index (NDVI), which ranges from -1 to +1, measures the greenness of vegetation, serving as an indicator of plant density and health. This can help to understand ecosystem to carbon-cycle interactions and be leveraged for determining patterns with NCE. We examined the relationship between NDVI and NCE across CONUS during 2020 using Gradient Boosting Decision Trees (GBDT) which specialize in classifying and predicting non-linear relationships. This algorithm takes multiple weak learners (decision trees) and combines their predictions in an iterative ensemble method to improve prediction accuracy. Feature and permutation importance tests found that January and August (trough and peak NDVI, respectively) were the highest weighted predictor variables related to NCE. The dataset was split in a 90% training 10% test ratio across latitude/longitude grid cells to assess and verify model performance. Using the mean squared error loss function and hyperparameters with optimal estimators, tree depth, sample split, and learning rate the algorithm was able to converge the test predictions to match the deviance of the training data. The gradient boosting model can be applied to different months and years of NDVI/NCE to further explore these relationships or a multitude of research questions. Further studies should consider integrating land use and land cover change variables such as bare land and urbanization to improve predictions of NCE.

      Makai Ogoshi
      Deep-learning Derived Spaceborne Canopy Structural Metrics Predict Forest Carbon Fluxes
      Makai Ogoshi
      Terrestrial and airborne lidar data products describing canopy structure are potent predictors of forest carbon fluxes, but whether satellite data products produce similarly robust indicators of canopy structure is not known. The assessment of contemporary spaceborne lidar and other remote sensing data products as predictors of carbon fluxes is crucial to next generation instrument and data product design and large-spatial scale modeling. We investigated relationships between deciduous broadleaf forest canopy structure, derived from deep-learning models created with lidar data from GEDI and optical imagery from Sentinel-2, and forest carbon exchange. These included comparisons to in-situ continuous net ecosystem exchange (NEE), gross primary production (GPP), and net primary production (NPP). We find that the mean  canopy height from the gridded spaceborne product has a strong correlation with forest NPP, similar to prior analysis with ground-based lidar (portable canopy lidar; PCL). For comparison to NPP, heights taken from the gridded spaceborne product were compared by overlapping the product with nine terrestrial forest sites from the National Ecological Observatory Network (NEON). We used standard deviation of canopy height as a measure of canopy structural complexity. Complexity derived from the gridded spaceborne product does not show the same strong correlation with NPP as found when using PCL. Mean annual GPP and NEE across five years were compared to the gridded spaceborne product at six Fluxnet2015-tower sites with continuous, gap-filled carbon flux data. When compared to in-situ flux tower data, neither mean canopy height nor structural complexity strongly correlate to annual NEE or GPP. Primarily, the finding that derived spaceborne products exhibit a strong correlation between forest canopy height and NPP will advance global-scale application of forest-carbon flux predictions. Secondarily, a variety of limitations highlight shortcomings in the current terrestrial flux data network. A small number of available study sites, both spatially and temporally, and lack of resolution in vertical complexity of canopy structure both contribute to uncertainty in assessing the relationships to NEE and GPP.

      Sebastian Reed
      Porewater Methane Concentrations Vary Significantly Across A Freshwater Tidal Wetland
      Sebastian Reed
      Methane is a potent greenhouse gas that is over 80 times more powerful than CO₂ at trapping heat and accounts for an estimated 30% of global temperature rise associated with climate change. The largest natural source of methane worldwide is wetlands. Despite the role of methane in driving climate change, the magnitude of global annual wetland methane flux remains highly uncertain. This study analyzes the effects of greenness (assessed using Normalized Difference Vegetation Index; NDVI), plant species composition, rooting depth, atmospheric methane concentration, and plant longevity on porewater methane concentration at the Kimages Rice Rivers Center tidal freshwater wetland. Samples for atmospheric and porewater concentrations were conducted in situ in June 2024. For each sampling location (n = 23) we collected whole air samples (WAS) 2m above the marsh surface and porewater samples 5cm below the marsh surface. We visually assessed species composition at each sample location, with 12 species of wetland plants present overall. We used the TRY plant database to find the rooting depth, leaf nitrogen content, and lifespan of each species. Drone multispectral data from 2023 was used to estimate NDVI values. These variables were compared to the pore water methane concentration via stepwise linear regression. Leaf N content, NDVI, plant species, and WAS sampling did not show statistically significant correlation to porewater methane concentration. Rooting depth showed a slight positive correlation with porewater methane (alpha = 0.1, p = 0.08, R^2 = 0.1). Samples with only perennial plants (as opposed to annual plants) had a higher mean value of porewater methane (p = 0.1). Analyzing porewater methane provides insight as to what wetland components affect methanogenesis and methane release, which aids in assessing which plant functional traits are most responsible for driving or mitigating climate change. Results from this study and future research in this area has the potential to more accurately assess how methane cycles through wetlands to the atmosphere.

      Nohemi Rodarte
      Understanding the vertical profile of CO₂ concentration: How carbon dioxide levels change with altitude
      Nohemi Rodarte
      Carbon dioxide (CO₂) is one of the main greenhouse gasses that contribute to global warming.While the relationship between CO₂ concentrations and land cover types, such as forests and urban areas, is well documented, there is limited knowledge of how CO₂ concentrations vary with altitude at fine spatial scales. Guided by our hypothesis that CO₂ levels vary with altitude and increase with elevation, we used airborne data collected from the B200 aircraft, which flew at different altitudes (400 to 1200 feet) above the urban area of Hopewell, Virginia, between 9:40 AM and 10:40 AM. We analyzed the CO₂ concentrations recorded by the flight to obtain the median and range for each 100 feet of altitude. Our results reveal that carbon dioxide concentrations varied significantly across the range of altitudes investigated. Within the area studied, CO₂ concentrations were found to range between 410 and 470 ppm. The distribution of these concentrations along the altitude gradient shows a bimodal pattern, with notable peaks at altitudes of 700 to 800 feet and 1100 to 1200 feet. Although CO₂ levels were present at all measured altitudes, there was a noticeable drop in the mean concentration at 800 feet,which then stabilized until reaching 1,000 feet before rising again. This pattern indicates that the concentrations of this greenhouse gas are not uniformly distributed with altitude, but rather vary significantly, showing higher concentrations at certain elevations and lower concentrations at others. The CO₂ distribution fluctuates with altitude, showing higher or lower levels at specific heights rather than a smooth gradient, indicating that altitude impacts CO₂ concentrations. While we did not identify the drivers of this change, future studies could evaluate how factors such as surface emissions, atmospheric mixing, and local conditions may contribute to vertical CO₂ profiles, since the altitudes we considered in this research are within the troposphere.

      Camille Shaw
      Linking NDVI with CO₂ and CH₄ Fluxes: Insights into Vegetation and Urban Source-Sink Dynamics in the Great Dismal Swamp
      Camille Shaw
      In recent years, carbon dioxide, methane, and other greenhouse gases have gained attention because of their contribution to the rise in Earth’s global mean temperature. Methane and carbon dioxide have various sources and sinks, but an expanding array of sources have created a need to assess ongoing change in carbon balance. This study aims to quantify the relationship between Normalized Difference Vegetation Index, or NDVI, and methane and carbon dioxide fluxes. We measured carbon dioxide and methane concentrations within the boundary layer using the PICARRO instrument, focusing on the Great Dismal Swamp, a forested wetland, and surrounding areas in the Eastern Mid-Atlantic Region. Data collection occurred at various times of day and along different flight paths in 2016, 2017, and 2024, with each year representing data from a single season, either spring or fall, for temporal analysis. We calculated methane and carbon dioxide fluxes along the flight paths using airborne eddy covariance, a method for capturing accurate flux measurements while accounting for the mixing of gases in the boundary layer caused by heat. Additionally, we calculated NDVI for this area using NASA’s Landsat 8 and 9 satellite imagery. Analysis of the afternoon flight data revealed a negative linear correlation between NDVI and carbon dioxide flux. Urban areas, characterized by low NDVI, exhibit a positive carbon dioxide flux as a consequence of emissions from vehicles, while forested areas, with high NDVI, show a negative carbon dioxide flux because of photosynthesis. In contrast, methane flux shows minimal correlation with NDVI. The lack of correlation arises because forested wetlands, with high NDVI, emit substantial amounts of methane, while urban areas, despite having low NDVI, still produce significant methane emissions from landfills and industrial activities. Future research could further investigate how seasonal and diurnal variations influence the correlations between NDVI and greenhouse gases by collecting comprehensive data across all seasons within a given year and at various times of the day.

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